Preprocessing method of road section dynamic traffic stream essential data of urban road
A technology of basic data and traffic flow, which is applied in the field of preprocessing of basic data of dynamic traffic flow on urban road sections, and can solve problems such as the inability to take into account the real-time and accuracy requirements of the ITS system, low mining levels, and unformed data validity checks, etc. question
Inactive Publication Date: 2014-07-16
SOUTHEAST UNIV
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Problems solved by technology
[0005] 1. The algorithms involved in the existing data preprocessing cannot take into account the real-time and accuracy requirements of the ITS system application at the same time, lack the support of the traffic flow theory, the data analysis and processing capabilities are weak, and the mining level is low;
[0006] 2. Data validity inspection has not formed a comprehensive and comprehensive rule system, and the inspection rules themselves lack a certain hierarchy;
[0007] 3. Missing data estimation lacks the identification of actual data missing patterns and the use of historical data, which contains many empirical components, and the application effect of a single algorithm is not ideal
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[0092] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0093] The present invention adopts the basic data of expressway and main road traffic flow collected by the microwave vehicle detector of the Beijing road traffic data collection system to carry out an example verification of a preprocessing method for the dynamic traffic flow basic data of urban road sections. The basic data of traffic flow is the general name of the three attribute variable data of traffic flow, average vehicle speed and average time occupancy rate. Speed, the average time occupancy rate is the percentage of the time when there are vehicles passing through the collection time interval of the vehicle detector. The original data collection time interval set by the Beijing road traffic data collection system is two minutes. The expressway data collection system records all data with an average time occupancy rate of less than 1...
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The invention discloses a preprocessing method of road section dynamic traffic stream essential data of an urban road. The method comprises the following steps of: acquiring the traffic stream essential data dynamically for time warping; detecting the effectiveness of divided lane traffic stream essential data; collecting the time of divided lane traffic stream essential data; collecting the fracture surface space at individual vehicle driving direction of the divided lane traffic stream essential data; and estimating the dynamic traffic stream loss data at individual vehicle driving direction. According to the invention, based on the characteristics of collected data of a fixed-type vehicle detector, the essential idea of the traffic stream theory is combined by adopting a threshold method, a set of data effectiveness detecting method is provided; aiming at different data loss patterns, history data is utilized reasonably, and the continuity and integrity of data are ensured furthest; the algorithm related to data preprocessing considers the timeliness and accuracy requirements at the same time, and the data analysis processing capability is high; and the preprocessing method of road section dynamic traffic stream essential data of the urban road plays positive significance to urban intelligent transportation system construction, road traffic informationization level improvement, and road operation management level improvement.
Description
technical field [0001] The invention relates to the application field of intelligent transportation, in particular to a method for preprocessing basic data of dynamic traffic flow in urban road sections. Background technique [0002] The basic data of dynamic traffic flow collected by fixed vehicle detectors is an important data source for Intelligent Transportation System (ITS). Since the fixed vehicle detector is affected by uncertain factors such as its own working status, network transmission, road traffic conditions and surrounding environment, the collected data has problems such as errors, loss, time point drift, and excessive noise. If the raw data is directly applied without preprocessing, it will affect the accuracy and reliability of the upper-level intelligent transportation application system in estimating and predicting urban road traffic conditions and performance evaluation indicators, resulting in a large degree of human intervention in system operation and ...
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IPC IPC(8): G08G1/01
Inventor 夏井新黄卫陆振波张韦华安成川聂庆慧
Owner SOUTHEAST UNIV